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Grant: Applied Research and Development Grants - Level 1

Cégep de Chicoutimi

$25,000.00

Detection and quantification of concrete sidewalk damages

EF 2020-21

Résumé
SNC-Lavalin Group Inc. is a Canadian company that provides engineering, procurement, and construction services to various industries, including transportation and infrastructure. The company is equipped with a Mobile Mapping System (MSS) and a Sidewalk Inspection Vehicle (SIV). These systems can extract geospatial and visual information of road networks, road-side infrastructure, and sidewalks. In particular, SNC Lavalin is interested in the automated detection of sidewalk damages. With this regard, CGQ will assist SNC Lavalin to develop image-based solutions for 1) detecting damages of concrete sidewalks and recognizing the damage category, 3) quantifying, measuring and geo-localizing the damage extent. This research project will allow the company to be equipped with a functional sidewalk damage-detection solution and be able to offer cutting-edge technologies to its clients in the infrastructure sector. For Canadian municipalities and governments, this solution can play a significant role in 1) optimizing the efficiency of their sidewalk-management plans by reducing inspection costs and time-consumption, and 2) increasing the safety of sidewalks by early detection and removal of trip hazards.
Programme
Applied Research and Development Grants - Level 1
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
554542-2020
Name nom
Tremblay, Christian
Department département
Siège social
Organization id
28439
Institution établissement
Cégep de Chicoutimi
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
25000
Program id
CARD1
Program name en
Applied Research and Development Grants - Level 1
Program name fr
Subventions de recherche et développement appliquée - niveau 1
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
604
Area of application group en
Construction, urban and rural planning
Area of application group fr
Construction, urbanisme et aménagement rural
Area of application en
Surveying and photogrammetry
Area of application fr
Arpentage et photogrammétrie
Research subject code
2603
Research subject group en
Robotics
Research subject group fr
Robotique
Research subject en
Computer vision
Research subject fr
Vision artificielle
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Detection and quantification of concrete sidewalk damages
Keyword
NSERC
Application summary
SNC-Lavalin Group Inc. is a Canadian company that provides engineering, procurement, and construction services to various industries, including transportation and infrastructure. The company is equipped with a Mobile Mapping System (MSS) and a Sidewalk Inspection Vehicle (SIV). These systems can extract geospatial and visual information of road networks, road-side infrastructure, and sidewalks. In particular, SNC Lavalin is interested in the automated detection of sidewalk damages. With this regard, CGQ will assist SNC Lavalin to develop image-based solutions for 1) detecting damages of concrete sidewalks and recognizing the damage category, 3) quantifying, measuring and geo-localizing the damage extent. This research project will allow the company to be equipped with a functional sidewalk damage-detection solution and be able to offer cutting-edge technologies to its clients in the infrastructure sector. For Canadian municipalities and governments, this solution can play a significant role in 1) optimizing the efficiency of their sidewalk-management plans by reducing inspection costs and time-consumption, and 2) increasing the safety of sidewalks by early detection and removal of trip hazards.